Essays about: "Sentiment analysis."
Showing result 6 - 10 of 261 essays containing the words Sentiment analysis..
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6. Seasoned Equity Offerings and Disclosure Sentiment Effects: Evidence from the U.S.
University essay from Göteborgs universitet/Graduate SchoolAbstract : This paper updates the data regarding Seasoned Equity Offering firms (SEOs) long-term performance and finds evidence in line with prior research that they underperform in the longterm. Furthermore, using automated textual analysis on the relevant disclosure filings SEO firms in the United States publish (Form 10-K, Form 8-K and Form 424B), we investigate the relationship between disclosure sentiment variables and long-term return performance. READ MORE
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7. Deep Learning Based Sentiment Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE
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8. From Elite to Everyone: How User-Generated Content Democratizes Hermès and Challenges Its Exclusivity
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : The purpose of this thesis is to add to existing research and create a deeper understanding regarding the influence of online narratives on luxury brand attitudes. The research aims to explore how luxury brands are portrayed by social media users, in order to gain a cohesive understanding of its effect on the attitudes that are formed towards the brand. READ MORE
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9. Media Representations of Doping in Sports : An Analysis of How Media Frames Men and Women in Doping Scandals
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : In this thesis we delve into the profile doping scandals involving Marion Jones and Lance Armstrong. Our aim is to analyze how the online news media portray doping allegations in sports specifically on these two athletes. READ MORE
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10. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE